Publications on Decomposition analysis

In recent years, Bolivia has experienced a series of economic and political transformations that have directly affected the labor markets, particularly the salaried urban sector. Real wages have shown strong increases across the distribution, while also presenting a decrease in inequality. Using an intertemporal decomposition approach, we find evidence that changes in demographic and labor market characteristics can explain only a small portion of the observed inequality decline. Instead, the results indicate that the decline in wage inequality was driven by the faster wage growth of usually low-paid jobs, and wage stagnation of jobs that require higher education or are in traditionally highly paid fields. While the evidence shows that the reduction in inequality is significant, we suggest that such an improvement might not be sustainable in the long run, since structural factors associated with productivity, such as workers’ level of education, explain only a small portion of these wage changes.

An Analysis over the Period of Asianization and Deindustrialization

The purpose of this study is to explore the employment effects of changes in manufacturing output resulting from shifting trade patterns over the period 1995–2006. For 30 countries (21 OECD and 9 non-OECD countries) we estimate the changes in embodied labor content due to trade using factor-content analysis, breaking up the sources of these changes between trade with the North, the South and China. We also decompose changes in employment into its component changes within and across sectors. Our results present a net negative impact of trade on total employment in 30 countries over the period of analysis (despite employment gains in 17 countries). Except for the Philippines and the Republic of Korea, trade with China has a negative impact on total employment in all countries, with a stronger negative effect on women’s employment. Employment losses in the South due to a surge in imports from China are coupled with declining exports to the North, as many countries in the North shift their imports to emerging economies in Asia. Decomposition results indicate that the decline in the share of women’s employment is mainly due to shifts between sectors rather than changes within sectors. Changes in women’s employment are still highly dependent on movements in “traditional” manufacturing sectors, including food, textiles, and wearing apparel.

This paper evaluates the gender wage gap among wage workers along the wage distribution in Georgia between 2004 and 2011, based on the recentered influence function (RIF) decomposition approach developed in Firpo, Fortin, and Lemieux (2009). We find that the gender wage gap decreases along the wage distribution, from 0.64 log points to 0.54 log points. Endowment differences explain between 22 percent and 61 percent of the observed gender wage gap, with the explained proportion declining as we move to the top of the distribution. The primary contributors are the differences in the work hours, industrial composition, and employment in the state sector. A substantial portion of the gap, however, remains unexplained, and can be attributed to the differences in returns, especially in the industrial premia.

The gender wage gap consistently declined between 2004 and 2011. However, the gap remains large, with women earning 45 percent less than men in 2011. The reduction in the gender wage gap between 2004 and 2007, and the switch from a glass-ceiling shape for the gender gap distribution to a sticky-floor shape, was driven by the rising returns in the state sector for men at the bottom, and by women at the top of the wage distribution. Between 2009 and 2011, the decline in the gender wage gap can be explained by the decrease in men’s working hours, which was larger than the decrease in women’s working hours. We assess the robustness of our findings using the statistical matching decomposition method developed in Ñopo (2008) in order to address the possibility that the high degree of industrial segregation may bias our results. The Ñopo decomposition results enrich our understanding of the factors that underlie the gender wage gap but do not alter our key findings, and in fact support their robustness.

This paper is part of the World Bank's gender assessment program in the South Caucasus.